I’m a data scientist with a strong academic foundation in economics and data science and more than four years of hands-on experience delivering ML-driven solutions in consulting, healthcare, and global development. I’ve built and deployed models for large-scale geospatial mobility analytics, credit scoring, computer-vision-based road-safety evaluation, and cost forecasting, working end-to-end with Python, AWS, and modern ML toolchains. My background spans The World Bank, Novartis, and BCG, where I’ve solved real-world problems using machine learning, optimization, and statistical modeling. I’m skilled in Python, AWS, SQL, and geospatial tooling, and I’m comfortable working with large datasets and production-oriented pipelines.

Simon Neumeyer

I’m a data scientist with a strong academic foundation in economics and data science and more than four years of hands-on experience delivering ML-driven solutions in consulting, healthcare, and global development. I’ve built and deployed models for large-scale geospatial mobility analytics, credit scoring, computer-vision-based road-safety evaluation, and cost forecasting, working end-to-end with Python, AWS, and modern ML toolchains. My background spans The World Bank, Novartis, and BCG, where I’ve solved real-world problems using machine learning, optimization, and statistical modeling. I’m skilled in Python, AWS, SQL, and geospatial tooling, and I’m comfortable working with large datasets and production-oriented pipelines.

Available to hire

I’m a data scientist with a strong academic foundation in economics and data science and more than four years of hands-on experience delivering ML-driven solutions in consulting, healthcare, and global development. I’ve built and deployed models for large-scale geospatial mobility analytics, credit scoring, computer-vision-based road-safety evaluation, and cost forecasting, working end-to-end with Python, AWS, and modern ML toolchains. My background spans The World Bank, Novartis, and BCG, where I’ve solved real-world problems using machine learning, optimization, and statistical modeling. I’m skilled in Python, AWS, SQL, and geospatial tooling, and I’m comfortable working with large datasets and production-oriented pipelines.

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Language

German
Fluent
English
Fluent
Spanish; Castilian
Advanced
French
Beginner

Work Experience

Data Scientist at The World Bank Group
April 1, 2021 - Present
Built daily data pipelines to scrape public transport usage and derive insights for the execution and progress of experiments. Contributed to a global decarbonization effort using geospatial mobility data (>1TB) to estimate average daily travel distances across ~120 countries. Led computer-vision and ML-based data collection (YOLO, Deep SORT) for road safety impact evaluations around Addis Ababa. Applied ML techniques to identify drivers of credit access among MSMEs in Kosovo.
Data Scientist at Novartis
October 1, 2021 - April 1, 2022
Rewrote and refined internal cost prediction algorithms to improve forecasting accuracy and efficiency.
Data Scientist at The Boston Consulting Group
April 1, 2019 - September 1, 2020
Applied optimization and forecasting techniques to model price development for a major grocery retailer and projected demand for a leading beauty retailer during the COVID-19 crisis.
Research Assistant at IESE Business School
October 1, 2018 - April 1, 2019
Assisted Professor Sampsa Samila with ML and economics projects, including building and training a recurrent neural network to predict nationality from names.
Research Assistant at Pompeu Fabra University
June 1, 2018 - September 1, 2018
Assisted Professor Albrecht Glitz by preparing data on industrial espionage for statistical inference.

Education

Master in Data Science at Barcelona Graduate School of Economics
September 1, 2020 - July 1, 2021
Master in Economics at Barcelona Graduate School of Economics
September 1, 2017 - July 1, 2018
Bachelor of Arts in Economics at University of Zurich
September 1, 2013 - April 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Government, Financial Services, Professional Services, Software & Internet, Education